Sr. Principal Analyst, Product Analytics

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more.

Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives.

We're always looking for smart, fearless and high-impact talent who see AI as a teammate — leveraging it to move faster and deliver meaningful results.

When you're part of Gen, you'll have the flexibility, tools and support to do your best work and grow your career — from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven.

We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team.

You'll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we'd love you to be part of Gen.

Our hybrid work model (3 days in the New York office) gives us the face-to-face time to have creative conversations, meaningful meetings, make quick decisions, and build relationships.

At the same time, it offers flexibility you need to focus and do your best work.

• Engine by MoneyLion is seeking a Sr. Principal Business Intelligence Analyst to serve as the senior-most individual contributor within the Product Analytics organization.

• Engine provides the infrastructure that connects consumers with personalized financial products through a network of financial institutions and distribution partners, matching millions of consumers with lending, deposit, credit card and other products via an API-driven marketplace.

• This role sits at the intersection of product innovation, business strategy, and analytics leadership — one of the highest-impact individual contributor positions within the organization, helping shape how Engine measures product success, evaluates customer experiences, and makes strategic product investment decisions.

• Key cross-functional partners: Product, Engineering, Revenue, Operations, and Executive leadership.

• Drive Product and Business Strategy — serve as a trusted strategic advisor to Product, Engineering, and Executive leadership; influence roadmap prioritization through data-driven recommendations and opportunity sizing; evaluate strategic investments and new product concepts through rigorous analysis and business case development.

• Lead Product Analytics Across Multiple Domains — own analytics strategy across multiple product areas and consumer journeys; define and evolve North Star metrics, KPI frameworks, and measurement standards.

• Establish Analytics and Experimentation Standards — lead the design and evaluation of complex A/B tests and experimentation programs; partner with Product and Engineering during discovery and launch planning; deliver executive-level readouts connecting results to business decisions.

• Influence Product Development Lifecycle — partner with Product Managers from discovery through launch and post-launch optimization; define measurement plans, success metrics, tracking requirements, and KPI frameworks for strategic initiatives.

• Lead Complex Investigations and Performance Analysis — conduct deep-dive analyses into customer behavior, marketplace dynamics, and product performance; serve as the escalation point for complex data investigations, quantifying impact and recommending corrective actions.

• Act as a subject matter expert on Engine's product and data ecosystem, driving cross-functional investigations involving Product, Engineering, Commercial, and Operations teams.

• Not specified — no formal degree requirement stated in the original posting.

• 6+ years of experience in Product Analytics, Business Intelligence, Data Analytics, Data Science, Consulting, or related analytical roles.

• Demonstrated experience supporting product organizations within fintech, marketplace, SaaS, technology, or data-driven environments.

• Extensive experience partnering directly with Product Management, Engineering, and senior business stakeholders.

• Advanced expertise in SQL and working with large-scale data environments.

• Strong understanding of product analytics, customer journey analysis, funnel optimization, and KPI development.

• Deep knowledge of experimentation methodologies, statistical analysis, hypothesis testing, and causal inference.

• Exceptional communication and storytelling skills, with experience presenting to senior leadership and executive audiences.

• Preferred: experience with modern data platforms/tooling (Snowflake, dbt, Looker, Amplitude or similar), and Python, R, or advanced statistical modeling.

• Proven ability to translate ambiguous business problems into analytical frameworks and actionable recommendations.

• Demonstrated ability to influence decisions and drive alignment across multiple teams without direct authority.

The annual base salary for this position is expected to be between 157,500 K – 180,000K USD plus bonus. In addition to base salary, this role is eligible for an annual performance-based bonus. Base salary is one component of Gen's total compensation package, which includes annual bonus.

Your CV will be reviewed together by the recruiter and hiring manager to assess the scope of your role, the impact you've delivered, and how your experience aligns with the position.

If shortlisted, the recruiter will contact you to discuss some details, with view to a meeting to your background, what's compelling you to Gen, and walk you through the interview process.

Gen is an equal opportunity employer, and we're committed to fair, inclusive practices at every stage of the candidate and employee journey.

Employment decisions are based on merit, experience and business needs.